• KPCA plus LDA

  • Referenced in 69 articles [sw08766]
  • KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition. This ... analysis (KPCA) plus Fisher linear discriminant analysis (LDA). This framework provides novel insights into...
  • penalizedLDA

  • Referenced in 61 articles [sw11350]
  • Fisher’s linear discriminant. Implements the penalized LDA proposal of ”Witten and Tibshirani (2011), Penalized...
  • topicmodels

  • Referenced in 18 articles [sw07324]
  • code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David ... authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu...
  • Multi-PIE

  • Referenced in 25 articles [sw31361]
  • results from baseline experiments using PCA and LDA classifiers to highlight similarities and differences between...
  • lda

  • Referenced in 14 articles [sw07319]
  • lda: Collapsed Gibbs sampling methods for topic models. This package implements latent Dirichlet allocation ... LDA) and related models. This includes (but is not limited to) sLDA, corrLDA...
  • JGibbLDA

  • Referenced in 9 articles [sw28484]
  • Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference ... Java implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation ... structures for an array of input strings. LDA was first introduced by David Blei ... decided to release this implementation of LDA in Java using Gibbs Sampling to provide...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • behind the hierarchical Bayesian topic models (e.g., LDA) under a unified constrained optimization framework...
  • Libxc

  • Referenced in 10 articles [sw06863]
  • find different types of functionals: LDA, GGA, hybrids, mGGA (experimental) and LCA (not working). These...
  • WIEN97

  • Referenced in 10 articles [sw14850]
  • uses the local (spin) density approximation (LDA) or the improved version of the generalized gradient...
  • LDAvis

  • Referenced in 6 articles [sw23609]
  • text data using Latent Dirichlet Allocation (LDA). Given the estimated parameters of the topic model ... help users interpret the topics in their LDA topic model...
  • CP2K

  • Referenced in 8 articles [sw15391]
  • GAPW. Supported theory levels include DFTB, LDA, GGA, MP2, RPA, semi-empirical methods...
  • GibbsLDA++

  • Referenced in 4 articles [sw35593]
  • implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation and inference ... datasets including large collections of text/Web documents. LDA was first introduced by David Blei ... decided to release this implementation of LDA in C/C++ using Gibbs Sampling to provide...
  • AMIDST

  • Referenced in 5 articles [sw21741]
  • financial dataset) and using several models (LDA, factor analysis, mixture of Gaussians and linear regression...
  • HierNMF2

  • Referenced in 5 articles [sw34622]
  • about 20 times faster than LDA with comparable quality. HierNMF2 has also been successfully applied...
  • LDA

  • Referenced in 4 articles [sw21695]
  • A Maple package for computing groebner bases for...
  • TMBP

  • Referenced in 2 articles [sw14435]
  • toolbox using belief propagation. Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model ... lies in the BP algorithms for learning LDA-based topic models. The current version includes ... algorithms for latent Dirichlet allocation (LDA), author-topic models (ATM), relational topic models ... labeled LDA (LaLDA). This toolbox is an ongoing project and more BP-based algorithms...
  • text2vec

  • Referenced in 4 articles [sw35638]
  • friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package...
  • LSMS

  • Referenced in 3 articles [sw06120]
  • large systems within the local density approximation (LDA). It is based on the observation that...
  • FLEUR

  • Referenced in 3 articles [sw22272]
  • correlation functionals are implemented, including the LDA+U approach. In recent years the code...
  • ldaPrototype

  • Referenced in 1 article [sw34004]
  • number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP ... procedure to select the LDA run with highest mean pairwise similarity, which is measured ... with Local Pruning), to all other runs. LDA runs are specified by its assignments leading ... encounter by choosing the most representative LDA run as prototype...